4 papers
Higher Partials of fStress
Jan de Leeuw
We define *fDistances*, which generalize Euclidean distances, squared distances, and log distances. The least squares loss function to fit fDistances to dissimilarity data is *fStr…
Majorizing Stress Formula Two
Jan de Leeuw
Modifications of the smacof algorithm for multidimensional scaling are proposed that provide a convergent majorization algorithm for Kruskal's stress formula two.
Global Minima by Penalized Full-dimensional Scaling
Jan de Leeuw
The full-dimensional (metric, Euclidean, least squares) multidimensional scaling stress loss function is combined with a quadratic external penalty function term. The trajectory of…
Convergence of SMACOF
Jan De Leeuw
To study convergence of SMACOF we introduce a modification mSMACOF that rotates the configurations from each of the SMACOF iterations to principal components. This modification, ca…